Skip to main content

Natural language to BigQuery

Project description

nlbq

Natural language interface to BigQuery

Google credentials

The Python BigQuery library expects the environment variable GOOGLE_APPLICATION_CREDENTIALS, which should point to a JSON file containing the credentials of a Google service account. You can create a service account and download its credentials from the Google Cloud Console. Then set the environment variable:

export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/google-service-account.json

Creating a demo environment

mkdir demo # Git will ignore this directory
cd demo
python3 -m venv venv
source venv/bin/activate
pip install -e ../ # Install the local package in editable mode
nlbq init  # generates prompt.txt, Dockerfile and index.html
# make changes then
pip uninstall nlbq --yes; pip install -e ../

You can initialise with prepopulated BigQuery dataset table schema information with

nlbq init --table dataset.table_id

Usage

nlbq --help

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nlbq-0.1.7.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

nlbq-0.1.7-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file nlbq-0.1.7.tar.gz.

File metadata

  • Download URL: nlbq-0.1.7.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for nlbq-0.1.7.tar.gz
Algorithm Hash digest
SHA256 6bb891454883405c67476b14e20120fc00b84f19be463a2557be53805aae7521
MD5 c406f6fdb8bca605f172995feb80856d
BLAKE2b-256 43aea84e09caabe6639c5c1a4df749389663c1a52d9bbd8ef4770fd5a7b2fdf9

See more details on using hashes here.

Provenance

File details

Details for the file nlbq-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: nlbq-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 12.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for nlbq-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 6fc427949b4bcdfe62fc98cb7ea11c3c5650432ca0da4ed52bcfe0e27e3d2e32
MD5 eafd6e5988d5c12c9dd5fb2a705ef580
BLAKE2b-256 247d88bf5e2741dae486835cff6f08703e8e54c35a929d757ec458637f6ffc01

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page